International Business Machines Corporation

Quan Yuan

Shiwan Zhao

Xia Tian Zhang

Rong Fu

Xian Wu

Shi Wan Zhao

Wei Gao

Tao Wang

Sheng Hua Bao

Kun Yan Yin

Guang Qing Zhong

Qia Wang

Embodiments of the present disclosure relate to environment monitoring and associated monitoring device, in which region-level environmental conditions are obtained and are detected by a plurality of sensors installed in a plurality of regions of a space enclosing electronic devices. Additionally, respective region priorities of the plurality of regions are determined based at least in part on the region-level environmental conditions, a region priority indicating a probability of occurrence of a risk event within a corresponding region. Furthermore, a movement path of a moveable monitoring device through the plurality of regions is determined based on the region priorities for detecting device-level environmental conditions associated with the electronic devices, and a moveable monitoring device and a system are disclosed.

Environment monitoring and associated monitoring device

A personalized data analysis method is provided, so as to find features having discrimination capability from target analysis items. In particular, a data analysis method includes: acquiring sample data; selecting discriminative features of the sample data; determining, for a target analysis item, whether it has a discriminative feature; and correlating the target analysis item with the discriminative feature in response to having the discriminative feature.

Data analysis method and system thereof

A method of generating recommended items for a current user in an unfamiliar domain includes selecting a reference user in a reference domain different from the unfamiliar domain, where current user behavior in the reference domain and reference user behavior in the reference domain have a user similarity index which satisfies a user similarity index condition. The method further includes generating the recommended items in the unfamiliar domain for the current user according to history behavior data of the reference user in the unfamiliar domain.

Generating recommended items in unfamiliar domain

A method of recommending tags for user includes receiving a current rating of current user on current objects; determining a candidate tag set based on the current user and the current rating; ordering each candidate tag in the candidate tag set based on index value thereof; and recommending tags for the current user based on the ordering.

Recommending tags based on user ratings

A computer program product for processing a video having a plurality of objects is provided. The computer program product includes a computer readable storage medium having computer readable program code embodied therewith. The computer readable program code is configured for labeling at least one object among the plurality of objects with a property selected from the group consisting of: whether the object can be modified; whether the object can be replaced; and at least one of: name, color, size, and content. The computer readable program code is configured for replacing the at least one object with another object having a property matching therewith if the object has been labeled as one that can be replaced. The computer readable program code is configured for modifying the at least one object to obtain a new object if the object has been labeled as one that can be modified.

Labeling a video, for modifying a video, and for video processing

A method and apparatus for user information processing in a network environment. The method performs an orthogonal transform on first and second vectors representing information related to first and second users respectively to obtain first and second transformed vectors. Then, the method splits the first and second transformed vectors into two parts respectively, such that first and second vectors cannot be derived from the first or second parts. The first and second user devices exchange the first part of the first transformed vector and the second part of the second transformed vector. The first and second user devices calculate the inner product of the first parts and the second parts respectively. Finally, the two inner products of the parts are summed to get an inner product of the first and second vectors. Also provided are a method and system for resource recommendation in a network environment.

Method and system for user information processing and resource recommendation in a network environment

A system and method for protecting cross-domain interaction of a web application on an unmodified browser. The system includes: a security framework, which is created by a browser. The security framework further includes: a component creator for creating components from a plurality of sources; and supervision module for supervising and controlling scripts/codes executed during the creation of components and invocation and interaction operations performed by various components after the creation of components.

Method and system for protecting cross-domain interaction of a web application on an unmodified browser

An apparatus and method for labeling a video, an apparatus and method for modifying a video, a video searching method and an advertising method. The method for labeling a video includes labeling at least one object with its properties. The method for modifying a video includes replacing at least one object labeled as 'can be replaced' with another object and modifying at least one object if the object has been labeled as 'can be modified.' The video searching method includes labeling at least one object in at least one video with its properties and searching the video for an object of interest using the properties labeled on at least one object. The advertising method includes creating a video having an object labeled by an author's name, modifying the video by replacing the labeled object with an advertising object or modifying the labeled object as an advertising object by the advertiser, and distributing the video so that end user can watch the modified video.

Growing community of inventors

Beijing, China

Quan Yuan